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Big Data, Machine Learning, Data Science. Visualizing Generative Adversarial Networks. Generative Adversarial Networks are the hotness at NIPS 2016. Weapons of Math Destruction A Data Scientist’s Guide to Disarmament. Race and Police Shootings: Why Data Sampling Matters. That’s like so random! Monte Carlo for Data Science. Introduction to Machine Learning Talk. Speaking at DataPhilly February 2016. A probabilistic justification to carpe diem. Categorizing NIPS papers using LDA topic modeling.

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Data Scienced | datascienced.com Reviews

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Big Data, Machine Learning, Data Science. Visualizing Generative Adversarial Networks. Generative Adversarial Networks are the hotness at NIPS 2016. Weapons of Math Destruction A Data Scientist’s Guide to Disarmament. Race and Police Shootings: Why Data Sampling Matters. That’s like so random! Monte Carlo for Data Science. Introduction to Machine Learning Talk. Speaking at DataPhilly February 2016. A probabilistic justification to carpe diem. Categorizing NIPS papers using LDA topic modeling.

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